AI cloud startup General Compute has signed a multi-year agreement to deploy Cerebras' wafer-scale AI hardware.

Under the agreement, General Compute will offer access to Cerebras' technology via its cloud platform starting in Q1, 2027.

Cerebras WSE-3
– Cerebras

General Compute will finance the systems and sell the result as inference. According to the company, it is the "largest single hardware commitment" it has made and is the first since the company raised $400 million in debt financing in July of this year.

The value of the agreement, and scale of deployment, have not been provided.

Sean Lie, Cerebras CTO and co-founder, said: "In AI, speed is productivity. An agent that takes hundreds of steps to finish a task is only as fast as its slowest step. Working with General Compute puts Cerebras speed in front of the developers building these agents, on a platform they already trust."

General Compute's CEO Finn Puklowski added: "The chips that win inference are not going to come from one vendor, and most customers cannot put a wafer-scale system on their own balance sheet. That is the gap we exist to close. We buy the hardware, and our customers get Cerebras speed on a contract they can actually sign. Agentic coding is where that speed is worth the most right now, so that is where we are starting."

According to a LinkedIn post from Pulowski, the company will also use Nvidia GPUs for prefill, which "gives a major step up in reducing the cost of delivering inference - meaning more intelligence per dollar."

The company also uses chips from AMD and SambaNova for its cloud platform, including the SambaNova GN50 chips, which are used for decoding calculations, while AMD MI300X graphics cards handle the rest of the workload phases for inference.

General Compute was founded by Puklowski and CTO Jason Goodison. In May 2026, the company raised $15m in seed funding. A whitepaper shared by the company at that time said it has "options on 15 megawatts of air-cooled power, which is enough to support the Q4 2026 architecture and the growth beyond it, at colocation facilities that exist today."

This is the second deal scored by Cerebras this week, with AI cloud startup Gimlet Cloud announcing it would be deploying 100MW of Cerebras' wafer-scale compute for inference workloads on Gimlet Cloud. The first data center under the agreement is expected to come online later this year.